Senior Data Engineer
Job not on LinkedIn
October 8
đŁď¸đ§đˇđľđš Portuguese Required
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Java
Kafka
NoSQL
Python
Scala
Spark
SQL
đ Description
⢠Develop and maintain data pipelines (ETL / ELT / streaming) in cloud environments; ⢠Work with data lake, data warehouse and lakehouse architectures, ensuring performance and scalability; ⢠Integrate and prepare data for Analytics and Data Science teams; ⢠Implement best practices for data governance, security, and data quality; ⢠Automate orchestration and monitoring (Airflow, Prefect, etc.); ⢠Collaborate with cross-functional teams on data-driven solutions.
đŻ Requirements
⢠Strong experience (5+ years) in data engineering and production-grade pipelines; ⢠Proficiency in SQL and languages such as Python, Scala, or Java; ⢠Experience with Spark, Kafka, and relational and NoSQL databases; ⢠Experience with cloud platforms (AWS, GCP, or Azure) and tools such as Glue, BigQuery, Redshift, or Dataproc; ⢠Knowledge of CI/CD, version control, and infrastructure as code; ⢠Experience with data governance and data quality (cataloging, lineage, LGPD); ⢠Experience in financial or regulated environments; ⢠Knowledge of modern data architectures (Lakehouse / Data Mesh); ⢠Familiarity with pipeline monitoring and observability.
đď¸ Benefits
⢠Competitive compensation based on experience ⢠Opportunities for career growth and participation in strategic projects ⢠Dynamic and challenging work environment ⢠Opportunity to work at a rapidly growing company.
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